Numerical Simulation of Topography Impact on Transport and Source Apportionment on PM2.5 in a Polluted City in Fenwei Plain

被引:1
|
作者
Li, Yanyu [1 ,2 ]
Wang, Xuan [3 ,4 ]
Li, Jie [1 ,5 ,6 ]
Zhu, Lingyun [2 ]
Chen, Yong [1 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China
[2] Inst Meteorol Sci Shanxi Prov, Taiyuan 030002, Peoples R China
[3] Henan Key Lab Environm Monitoring Technol, Zhengzhou 450000, Peoples R China
[4] Henan Ecol & Environm Monitoring Ctr, Zhengzhou 450000, Peoples R China
[5] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
[6] Chinese Acad Sci, Inst Urban Environm, Ctr Excellence Reg Atmospher Environm, Xiamen 361021, Peoples R China
基金
中国国家自然科学基金;
关键词
PM2; 5; Sanmenxia; canyon terrain; transport; source apportionment; FINE PARTICULATE MATTER; BEIJING-TIANJIN-HEBEI; ACID DEPOSITION MODEL; YANGTZE-RIVER DELTA; REGIONAL TRANSPORT; HAZE EPISODE; AIR-QUALITY; RAPID FORMATION; HEAVY HAZE; CHINA;
D O I
10.3390/atmos13020233
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The unique energy structure, high intensity of coal production, and complex terrain, make Fenwei Plain a highly polluted region in China. In this study, we characterized the transport characteristic and sources of PM2.5 (the fraction of particulate matter <= 2.5 mu m) in Sanmenxia, a polluted city in canyon terrain. The results showed that special topography in Sanmenxia had an important role in the transport of particulates. Sanmenxia is located between two northeast-southwest facing mountains, showing a special local circulation. The local circulation was dominated by a downslope wind at nighttime, while the cross-mountain airflow and zonal wind were dominant during the daytime in the canyon terrain. PM2.5 accumulated near Sanmenxia with the influence of downslope, zonal wind, and topography. The main regional transport paths could be summarized into an eastern path, a northern path, and a western path during the severe haze episodes. The PM2.5 source apportionment revealed by an on-line tracer-tagged of the Nested Air Quality Prediction Model System (NAQPMS) showed that the main regional sources of Sanmenxia were Yuncheng, Sanmenxia, and Weinan. The contribution to PM2.5 concentration in Sanmenxia was 39%, 25%, and 11%, respectively. The northern path had the most important impact on Sanmenxia. The results can provide scientific basis for the establishment of severe haze control in Sanmenxia and regional joint control.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Temporal characteristic and source analysis of PM2.5 in the most polluted city agglomeration of China
    Wu, Xiaoguo
    Ding, Yueyue
    Zhou, Shoubiao
    Tan, Ye
    ATMOSPHERIC POLLUTION RESEARCH, 2018, 9 (06) : 1221 - 1230
  • [42] Sources apportionment of PM2.5 in a background site in the North China Plain
    Yao, Lan
    Yang, Lingxiao
    Yuan, Qi
    Yan, Chao
    Dong, Can
    Meng, Chuanping
    Sui, Xiao
    Yang, Fei
    Lu, Yaling
    Wang, Wenxing
    SCIENCE OF THE TOTAL ENVIRONMENT, 2016, 541 : 590 - 598
  • [43] Source apportionment of PM2.5 and the impact of future PM2.5 changes on human health in the monsoon-influenced humid subtropical climate
    Nguyen, Thanh Hung
    Nagashima, Tatsuya
    Doan, Quang-Van
    Khan, Ansar
    Niyogi, Dev
    ATMOSPHERIC POLLUTION RESEARCH, 2023, 14 (06)
  • [44] Source Apportionment of Heavy Metals (Pb, Cd, As, Hg) in PM2.5 and PM10 in a City in China
    Li, Zhuang
    Zou, Runli
    Li, Juansheng
    Huang, Jin
    Zhu, Banghui
    MATERIALS SCIENCE, ENVIRONMENT PROTECTION AND APPLIED RESEARCH, 2014, 908 : 14 - +
  • [45] Isotopic signatures and source apportionment of Pb in ambient PM2.5
    Jung, Chien-Cheng
    Chou, Charles C-K
    Huang, Yi-Tang
    Chang, Shih-Yu
    Lee, Chung-Te
    Lin, Chuan-Yao
    Cheung, Hing-Cho
    Kuo, Wei-Chen
    Chang, Chih-Wei
    Chang, Shuenn-Chin
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [46] Chemical characteristics and source apportionment of PM2.5 in Wuhan, China
    Huang, Fan
    Zhou, Jiabin
    Chen, Nan
    Li, Yuhua
    Li, Kuan
    Wu, Shuiping
    Journal of Atmospheric Chemistry, 2019, 76 (03): : 245 - 262
  • [47] Spatial and temporal characteristics of PM2.5 and source apportionment in Wuhan
    Hao, Hanzhou
    Guo, Qianqian
    INTERNATIONAL CONFERENCE ON ENERGY ENGINEERING AND ENVIRONMENTAL PROTECTION (EEEP2017), 2018, 121
  • [48] Chemical characterization and source apportionment of PM2.5 in a Northeastern China city during the epidemic period
    Wang L.
    Zhuang X.
    Bao H.
    Ma C.
    Ma C.
    Yang G.
    Environmental Science and Pollution Research, 2024, 31 (22) : 32901 - 32913
  • [49] PM2.5 pollution in a petrochemical industry city of northern China: Seasonal variation and source apportionment
    Luo, Yuanyuan
    Zhou, Xuehua
    Zhang, Jingzhu
    Xiao, Yan
    Wang, Zhe
    Zhou, Yang
    Wang, Wenxing
    ATMOSPHERIC RESEARCH, 2018, 212 : 285 - 295
  • [50] Revising the use of potassium (K) in the source apportionment of PM2.5
    Pachon, Jorge E.
    Weber, Rodney J.
    Zhang, Xiaolu
    Mulholland, James A.
    Russell, Armistead G.
    ATMOSPHERIC POLLUTION RESEARCH, 2013, 4 (01) : 14 - 21